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Molecular modelling of mitofusin 2 for a prediction for Charcot-Marie-Tooth 2A clinical severity
Charcot-Marie-Tooth disease type 2A (CMT2A) is an autosomal dominant neuropathy caused by mutations in the mitofusin 2 gene (MFN2). More than 100 MFN2 gene mutations have been reported so far, with majority located within the GTPase domain encoding region. These domain-specific mutations present wid...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237821/ https://www.ncbi.nlm.nih.gov/pubmed/30442897 http://dx.doi.org/10.1038/s41598-018-35133-9 |
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author | Beręsewicz, Małgorzata Charzewski, Łukasz Krzyśko, Krystiana A. Kochański, Andrzej Zabłocka, Barbara |
author_facet | Beręsewicz, Małgorzata Charzewski, Łukasz Krzyśko, Krystiana A. Kochański, Andrzej Zabłocka, Barbara |
author_sort | Beręsewicz, Małgorzata |
collection | PubMed |
description | Charcot-Marie-Tooth disease type 2A (CMT2A) is an autosomal dominant neuropathy caused by mutations in the mitofusin 2 gene (MFN2). More than 100 MFN2 gene mutations have been reported so far, with majority located within the GTPase domain encoding region. These domain-specific mutations present wide range of symptoms with differences associated with distinct amino acid substitutions in the same position. Due to the lack of conclusive phenotype-genotype correlation the predictive value of genetic results remains still limited. We have explored whether changes in the protein structure caused by MFN2 mutations can help to explain diseases phenotypes. Using a stable protein model, we evaluated the effect of 26 substitutions on the MFN2 structure and predicted the molecular consequences of such alterations. The observed changes were correlated with clinical features associated with a given mutation. Of all tested mutations positive correlation of molecular modelling with the clinical features reached 73%. Our analysis revealed that molecular modelling of mitofusin 2 mutations is a powerful tool, which predicts associated pathogenic impacts and that these correlate with clinical outcomes. This approach may aid an early diagnosis and prediction of symptoms severity in CMT2A patients. |
format | Online Article Text |
id | pubmed-6237821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62378212018-11-23 Molecular modelling of mitofusin 2 for a prediction for Charcot-Marie-Tooth 2A clinical severity Beręsewicz, Małgorzata Charzewski, Łukasz Krzyśko, Krystiana A. Kochański, Andrzej Zabłocka, Barbara Sci Rep Article Charcot-Marie-Tooth disease type 2A (CMT2A) is an autosomal dominant neuropathy caused by mutations in the mitofusin 2 gene (MFN2). More than 100 MFN2 gene mutations have been reported so far, with majority located within the GTPase domain encoding region. These domain-specific mutations present wide range of symptoms with differences associated with distinct amino acid substitutions in the same position. Due to the lack of conclusive phenotype-genotype correlation the predictive value of genetic results remains still limited. We have explored whether changes in the protein structure caused by MFN2 mutations can help to explain diseases phenotypes. Using a stable protein model, we evaluated the effect of 26 substitutions on the MFN2 structure and predicted the molecular consequences of such alterations. The observed changes were correlated with clinical features associated with a given mutation. Of all tested mutations positive correlation of molecular modelling with the clinical features reached 73%. Our analysis revealed that molecular modelling of mitofusin 2 mutations is a powerful tool, which predicts associated pathogenic impacts and that these correlate with clinical outcomes. This approach may aid an early diagnosis and prediction of symptoms severity in CMT2A patients. Nature Publishing Group UK 2018-11-15 /pmc/articles/PMC6237821/ /pubmed/30442897 http://dx.doi.org/10.1038/s41598-018-35133-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Beręsewicz, Małgorzata Charzewski, Łukasz Krzyśko, Krystiana A. Kochański, Andrzej Zabłocka, Barbara Molecular modelling of mitofusin 2 for a prediction for Charcot-Marie-Tooth 2A clinical severity |
title | Molecular modelling of mitofusin 2 for a prediction for Charcot-Marie-Tooth 2A clinical severity |
title_full | Molecular modelling of mitofusin 2 for a prediction for Charcot-Marie-Tooth 2A clinical severity |
title_fullStr | Molecular modelling of mitofusin 2 for a prediction for Charcot-Marie-Tooth 2A clinical severity |
title_full_unstemmed | Molecular modelling of mitofusin 2 for a prediction for Charcot-Marie-Tooth 2A clinical severity |
title_short | Molecular modelling of mitofusin 2 for a prediction for Charcot-Marie-Tooth 2A clinical severity |
title_sort | molecular modelling of mitofusin 2 for a prediction for charcot-marie-tooth 2a clinical severity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237821/ https://www.ncbi.nlm.nih.gov/pubmed/30442897 http://dx.doi.org/10.1038/s41598-018-35133-9 |
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